Overview
La siguiente información ofrece un resumen de las habilidades, cualidades y cualificaciones necesarias para este puesto.
As Data Architect for PepsiCo International Digital Commerce, you will define and scale the data foundations that enable trusted, searchable data across markets. You will design conceptual to physical data models, govern metadata, and set standards used by engineering teams. You will partner with enterprise architecture and Data Engineering to align on reference designs and data sharing. You will shape the data strategy for market expansion and new data domains, in a startup‑like, collaborative environment.
Compensaciones / Ventajas
Hybrid work model
entrepreneurial environment
professional growth opportunities
wellbeing and financial benefits
volunteering opportunities
Responsabilidades
Design and maintain data models across the Digital Commerce domain to ensure scalability and business alignment
Define conceptual, logical, and physical architectures supporting data products and use cases
Own metadata management architecture for discoverability and understanding
Establish data modelling standards and patterns for Data Engineering teams across regional pods
Define and evolve data architecture best practices and reference designs for common scenarios
Review data designs to ensure alignment with standards and improve data accessibility




Represent International Digital Commerce in PepsiCos Data Architecture community and align with enterprise standards
Collaborate with Data Engineering on data lineage, quality, and metadata strategy
Provide architectural guidance on new initiatives (market expansion, new data domains) and assess emerging technologies
Partner with Solution Architect on end-to-end architecture decisions spanning data and architecture layers
Requisitos principales
6+ years of experience in data engineering and architecture
Proven Data Architect in a complex, multi-domain environment
Track record of scaling data models across markets or business areas
Experience establishing data architecture standards and governance in growing organizations
Background xqbhyrx working with enterprise architecture functions
Deep expertise in conceptual, logical, and physical data modelling
Strong knowledge of modern data platforms (Snowflake, cloud data warehouses) and architecture impact
Ability to influence without direct authority through collaboration with Data Engineering teams
Strong communication skills to translate concepts for both technical and non-technical audiences
Comfortable representing dCommerce in enterprise forums within matrix organizations
strong communication
influence without authority
cross-functional collaboration
data modelling (conceptual/logical/physical)
metadata management
data governance

📌 dComm Data Architect (Bilbao)
🏢 PepsiCo
📍 Bilbao